Combining Independent Component and Grey Relational Analysis for the Real-Time System of Hand Motion Identification Using Bend Sensors and Multichannel Surface EMG
This paper proposes a portable system for hand motion identification (HMI) using the features from data glove with bend sensors and multichannel surface electromyography (SEMG). SEMG could provide the information of muscle activities indirectly for HMI. However it is difficult to discriminate the fi...
Main Authors: | Pei-Jarn Chen, Yi-Chun Du |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2015-01-01
|
Series: | Mathematical Problems in Engineering |
Online Access: | http://dx.doi.org/10.1155/2015/329783 |
Similar Items
-
Evaluation of Stationary Wavelet, PCA and ICA for Hand Motion EMG Identification
by: Yi-Chun Du, et al.
Published: (2003) -
Real Time Hand Motion Reconstruction System for Trans-Humeral Amputees Using EEG and EMG
by: Jacobo Fernandez-Vargas, et al.
Published: (2016-08-01) -
Convolutive Independent Component Analysis for Blind Separation of Real Multichannel Recordings of Speeches and Musics
by: Sih-Huei Chen, et al.
Published: (2014) -
Multichannel Surface EMG Decomposition Based on Measurement Correlation and LMMSE
by: Yong Ning, et al.
Published: (2018-01-01) -
Multiday EMG-Based Classification of Hand Motions with Deep Learning Techniques
by: Muhammad Zia ur Rehman, et al.
Published: (2018-08-01)